All 5 tools have descriptions and basic input schemas, but quality is significantly below production standards. Tool names lack action verbs (gazette_search is acceptable, but tender_search_guide, open_data_guide, parliament_tracker, citizen_feedback_channels are vague). Parameter descriptions are minimal or missing. Output schemas are undocumented, responses are free-form dicts with no structured schema declaration. All tools are marked DEMO with no real API integration, limiting practical utility. Error handling is absent; no guidance on invalid inputs or failure recovery. Naming violates verb_noun convention for 4 of 5 tools.

• Rename tools to verb_noun pattern: tender_search_guide → search_tenders, open_data_guide → get_open_data, parliament_tracker → track_parliament_bills, citizen_feedback_channels → get_feedback_channels. This enables LLMs to infer intent from the name alone.
• Add enum constraints to all categorical parameters. E.g. search_type in gazette_search should declare enum: ['legal_notice', 'appointment', 'company_notice', 'land_notice', 'tender_notice']. Same for data_type, query_type, issue_type. Remove free-form string acceptance.
• Document output schemas explicitly. For each tool, declare the response structure: e.g. gazette_search returns {source: string, search_type: string, description: string, access: string, api: string, date_range: string | null}. Include field descriptions and types.
• Implement real API integration or clearly separate demo mode. If tools remain demo-only, rename them (e.g. gazette_search_demo) and document that they return hardcoded example data. If real integration is planned, implement actual HTTP calls to kenyalaw.org, tenders.go.ke, parliament.go.ke with proper error handling.
• Add input validation and actionable error messages. E.g. if search_type is invalid, return {error: 'Invalid search_type: got "xyz". Must be one of: legal_notice, appointment, company_notice, land_notice, tender_notice'}. Guide LLMs to self-correct.